Companies starting their AI journey.
We define where AI delivers measurable impact, build the infrastructure foundations, and ship the first production deployments.
ABOUT · CRYENX LABS
Production engineering, disciplined enough to ship AI.
A decade of performance-critical engineering, for brands where there was no room for “it worked in the demo.” Now applied to production AI.
EST. 2016 · 10+ YRS PRE-AI
Book a strategy call
01 / THE WORK
The work that taught us how to ship.
Before AI was the conversation, we were building performance-critical, real-time systems for some of the most demanding brands in the world.
Cryenx was building real-time interactive systems, AR/XR experiences, and performance-critical engineering for Disney, Coca-Cola, Apple, LEGO, Warner Bros, SXSW, L’Oréal, and Bristol Myers Squibb. The brief was unforgiving: systems had to run reliably under unpredictable load, hold up at brand scale, and integrate with existing client infrastructure the first time and every time.
That discipline (observability, integration rigor, real SLAs, no surprise scope) is the same engineering posture we now bring to production AI.
DEPLOYED ALONGSIDE GLOBAL BRANDS
↪ A DECADE OF PRODUCTION-CRITICAL WORK
02 / THE CONNECTION
Production AI is engineering work.
The reason most AI projects don’t reach production isn’t the model; it’s the engineering required to operate it under real conditions. Most teams budget for the model. The rest is where projects die.
Where production-AI work actually goesThe model is <30% · Operating discipline is 70%
WHAT TEAMS BUDGET FOR
Model selection
Training + fine-tuning
Evaluation pass
WHAT PRODUCTION AI ACTUALLY NEEDS
01Observability + tracing
02Eval + regression in CI
03Cost + token budgeting
04Integration with CRMs / ERPs
05Data pipelines + vector stores
06Latency SLAs
07Governance + audit
08Failure modes + retries
09Versioning + rollback
10Operating economics + ROI
✓ We close the operating disciplineObservability · integration · governance Built to operate
Most teams budget the model. We close the operating discipline around it.
FORWARD-DEPLOYED
We don’t hand off slides. We ship into your systems and stay through delivery.
CRYENX OPERATING POSTURE03 / THE APPROACH
Forward-deployed. ROI-first. Built to operate.
We work as your AI engineering team: embedded, accountable, and measured. Four tenets define the operating model.
TENET 01
Forward-deployed
Embedded with your stakeholders, accountable to the goal path. We don’t hand off slides.
TENET 02
ROI-first
Measurable outcomes at every checkpoint. No theatrical metrics, no vanity benchmarks.
TENET 03
90-day cycles
Predictable cadence. No surprise scope, no surprise cost. Outcomes inside a budget.
TENET 04
Through delivery
We ship into your systems and stay until it operates. Operating handoff included.
Companies optimizing what’s running.
We harden observability, cost discipline, reliability, and integration into the existing stack, with before/after measurement.
